Quantifying Interagency Differences in Tropical Cyclone Best-Track Wind Speed Estimates

被引:143
|
作者
Knapp, Kenneth R. [1 ]
Kruk, Michael C. [2 ]
机构
[1] NOAA, Natl Climat Data Ctr, Asheville, NC 28801 USA
[2] STG Inc, Asheville, NC USA
关键词
INTENSITY;
D O I
10.1175/2009MWR3123.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Numerous agencies around the world perform postseason analysis of tropical cyclone position and intensity, a process described as "best tracking." However, this process is temporally and spatially inhomogeneous because data availability, operational techniques, and knowledge have changed over time and differ among agencies. The net result is that positions and intensities often vary for any given storm for different agencies. In light of these differences, it is imperative to analyze and document the interagency differences in tropical cyclone intensities. To that end, maximum sustained winds from different agencies were compared using data from the International Best Track Archive for Climate Stewardship (IBTrACS) global tropical cyclone dataset. Comparisons were made for a recent 5-yr period to investigate the current differences, where linear systematic differences were evident. Time series of the comparisons also showed temporal changes in the systematic differences, which suggest changes in operational procedures. Initial attempts were made to normalize maximum sustained winds by correcting for known changes in operational procedures. The result was mixed, in that the adjustments removed some but not all of the systematic differences. This suggests that more details on operational procedures are needed and that a complete reanalysis of tropical cyclone intensities should be performed.
引用
收藏
页码:1459 / 1473
页数:15
相关论文
共 50 条
  • [41] UNCERTAINTY OF NUMERICAL SIMULATIONS ON STORM SURGES BY USE OF BEST TRACK DATA OF TROPICAL CYCLONE
    Nobuoka, Hisamich
    PROCEEDINGS OF COASTAL DYNAMICS 2009: IMPACTS OF HUMAN ACTVITIES ON DYNAMIC COASTAL PROCESSES, 2009,
  • [42] Recent developments in the continuous assimilation of satellite wind data for tropical cyclone track forecasting
    Le Marshall, J
    Leslie, L
    Morison, R
    Pescod, N
    Seecamp, R
    Spinoso, C
    REMOTE SENSING AND APPLICATIONS: EARTH, ATMOSPHERE AND OCEANS, 2000, 25 (05): : 1077 - 1080
  • [43] Quantifying uncertainties in tropical cyclone wind hazard assessment due to synthetic track stochastic variability for Southeast Asia (vol 41 ,100599, 2023)
    Jian, Wei
    Lo, Edmond Yat-Man
    Stojanovski, Pane
    Pan, Tso-Chien
    WEATHER AND CLIMATE EXTREMES, 2024, 44
  • [44] Estimation of global tropical cyclone wind speed probabilities using the STORM dataset
    Bloemendaal, Nadia
    de Moel, Hans
    Muis, Sanne
    Haigh, Ivan D.
    Aerts, Jeroen C. J. H.
    SCIENTIFIC DATA, 2020, 7 (01)
  • [45] CYGNSS Storm-Centric Tropical Cyclone Gridded Wind Speed Product
    Mayers, David R.
    Ruf, Christopher S.
    Warnock, April M.
    JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2023, 62 (03) : 329 - 339
  • [46] Estimation of global tropical cyclone wind speed probabilities using the STORM dataset
    Nadia Bloemendaal
    Hans de Moel
    Sanne Muis
    Ivan D. Haigh
    Jeroen C. J. H. Aerts
    Scientific Data, 7
  • [47] Tropical cyclone track prediction model for multidimensional features and time differences series observation
    Yang, Peihao
    Ye, Guodong
    ALEXANDRIA ENGINEERING JOURNAL, 2025, 111 : 432 - 445
  • [48] Comparison of Three Western North Pacific Tropical Cyclone Best Track Datasets in a Seasonal Context
    Ying, Ming
    Cha, Eun-Jeong
    Kwon, H. Joe
    JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 2011, 89 (03) : 211 - 224
  • [49] Comparison of Tropical Cyclone Wind Radius Estimates between the KMA, RSMC Tokyo, and JTWC
    Kim, Hye-Ji
    Moon, Il-Ju
    Oh, Imyong
    ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES, 2022, 58 (04) : 563 - 576
  • [50] Comparison of Tropical Cyclone Wind Radius Estimates between the KMA, RSMC Tokyo, and JTWC
    Hye-Ji Kim
    Il-Ju Moon
    Imyong Oh
    Asia-Pacific Journal of Atmospheric Sciences, 2022, 58 : 563 - 576